package com.hkbigdata.window;

import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.datastream.WindowedStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.windowing.assigners.ProcessingTimeSessionWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;

/**
 * @author liuanbo
 * @creat 2023-04-23-14:41
 * @see 2194550857@qq.com
 */
public class Flink03_Window_TimeSession {
    public static void main(String[] args) throws Exception {
        //1.获取执行环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);

        //2.读取端口数据
        DataStreamSource<String> socketTextStream = env.socketTextStream("hadoop102", 9999);

        SingleOutputStreamOperator<Tuple2<String, Integer>> flatMap = socketTextStream.flatMap(new FlatMapFunction<String, Tuple2<String, Integer>>() {
            @Override
            public void flatMap(String value, Collector<Tuple2<String, Integer>> out) throws Exception {
                String[] split = value.split(",");

                for (String s : split) {
                    out.collect(new Tuple2<>(s, 1));
                }
            }
        });

        KeyedStream<Tuple2<String, Integer>, String> keyedStream = flatMap.keyBy(data -> data.f0);

        WindowedStream<Tuple2<String, Integer>, String, TimeWindow> window = keyedStream.window(ProcessingTimeSessionWindows.withGap(Time.seconds(5)));

        window.sum(1).print();


        env.execute();
    }
}
